A Distributed Intelligent Intrusion Detection System based on Parallel Machine Learning and Big Data Analysis

被引:2
|
作者
Louati, Faten [1 ,4 ]
Ktata, Farah Barika [2 ,4 ]
Ben Amor, Ikram Amous [3 ,4 ]
机构
[1] Fac Econ & Management Sfax, Sfax, Tunisia
[2] Higher Inst Appl Sci & Technol Sousse, Sousse, Tunisia
[3] Natl Sch Elect & Telecommun Sfax, Sakiet Ezzit, Tunisia
[4] Multimedia InfoRmat Syst & Adv Comp Lab MIRACL, Sfax, Tunisia
关键词
Intrusion Detection; Big Data; Reinforcement Learning; Multi Agent System; MULTIAGENT SYSTEM; INTERNET; THINGS;
D O I
10.5220/0010886300003118
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Networking security continue to be a serious challenge for all domains because of the increasing number of attacks launched every day due to the advent of connected devices and the emergence of the Internet. Hence, Intrusion detection system comes into focus, especially with the inception of big data challenges. In this paper, we propose a distributed and parallel intrusion detection system suitable for big data environments using machine learning-based multi agent system and big data analysis.
引用
收藏
页码:152 / 157
页数:6
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